rmsb: Bayesian Regression Modeling Strategies

A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <doi:10.2307/2347760>.

Version: 0.0.2
Depends: R (≥ 3.4.0), rms (≥ 6.0.2)
Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1), Hmisc (≥ 4.3-0), survival (≥ 3.1-12), ggplot2, MASS, cluster, digest, knitr, loo
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: mice
Published: 2021-02-27
Author: Frank Harrell ORCID iD [aut, cre], Ben Goodrich [ctb] (contributed Stan code), Ben Bolker [ctb] (wrote original code that is folded into the pdensityContour function), Doug Bates [ctb] (write original code for highest posterior density interval that is folded into the HPDint function)
Maintainer: Frank Harrell <fh at fharrell.com>
License: GPL (≥ 3)
URL: https://hbiostat.org/R/rmsb/
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: rmsb results


Reference manual: rmsb.pdf
Package source: rmsb_0.0.2.tar.gz
Windows binaries: r-devel: rmsb_0.0.2.zip, r-release: rmsb_0.0.1.zip, r-oldrel: rmsb_0.0.1.zip
macOS binaries: r-release: rmsb_0.0.1.tgz, r-oldrel: rmsb_0.0.1.tgz
Old sources: rmsb archive

Reverse dependencies:

Reverse suggests: rms


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